Create update_model.py

update_model.py

@@ -0,0 +1,15 @@
+from transformers import Trainer, TrainingArguments
+
+def fine_ttm(new_data):
+    training_args = TrainingArguments(
+        output_dir="./results",
+        per_device_train_batch_size=4,
+        num_train_epochs=3
+    )
+    trainer = Trainer(
+        model=ttm_model,
+        args=training_args,
+        train_dataset=new_data
+    )
+    trainer.train()
+    trainer.save_model("updated_ttm")